save_data: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/models ## Where the vocab(s) will be written src_vocab: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/models/run/vocab/bpe.vocab.src tgt_vocab: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/models/run/vocab/bpe.vocab.tgt overwrite: True # Corpus opts: data: en-gl: path_src: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/train.en35k.txt path_tgt: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/train.gl35k.txt transforms: [bpe, filtertoolong] valid: path_src: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/valid.en35k.txt path_tgt: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/valid.gl35k.txt transforms: [bpe, filtertoolong] ### Transform related opts: #### Subword src_subword_model: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/en_35k.code tgt_subword_model: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/gl_35k.code src_subword_vocab: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/models/run/vocab/bpe.vocab.src tgt_subword_vocab: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/models/run/vocab/bpe.vocab.tgt #src_subword_model: ../sentencepiece/en-gl/en.sp.model #tgt_subword_model: ../sentencepiece/en-gl/gl.sp.model src_subword_type: bpe tgt_subword_type: bpe src_subword_nbest: 1 src_subword_alpha: 0.0 tgt_subword_nbest: 1 tgt_subword_alpha: 0.0 ##embeddings src_embeddings: /mnt/netapp1/Proxecto_NOS/mt/treino_data/embeddings/en.emb.txt tgt_embeddings: /mnt/netapp1/Proxecto_NOS/mt/treino_data/embeddings/gl.emb.txt ## supported types: GloVe, word2vec embeddings_type: "word2vec" # word_vec_size need to match with the pretrained embeddings dimensions word_vec_size: 300 #### Filter src_seq_length: 150 tgt_seq_length: 150 # silently ignore empty lines in the data skip_empty_level: silent # General opts # Update the path to the most recent checkpoint available #opt.train_from: /home/compartido/ramom/es-gl/models/_step_260000.pt #train_from: /home/compartido/ramom/es-gl/models/_step_250000.pt save_model: /mnt/netapp1/Proxecto_NOS/mt/corpus/iacobus/en-gl/aut/models/ keep_checkpoint: 50 save_checkpoint_steps: 10000 average_decay: 0.0005 seed: 1234 report_every: 1000 train_steps: 400000 valid_steps: 10000 # Batching queue_size: 10000 bucket_size: 32768 world_size: 1 gpu_ranks: [0] batch_type: "tokens" #batch_size: 1500 batch_size: 4096 valid_batch_size: 64 batch_size_multiple: 1 max_generator_batches: 2 accum_count: [4] accum_steps: [0] # Optimization model_dtype: "fp32" optim: "adam" learning_rate: 2 #learning_rate: 0.00005 warmup_steps: 8000 decay_method: "noam" adam_beta2: 0.998 max_grad_norm: 0 label_smoothing: 0.1 param_init: 0 param_init_glorot: true normalization: "tokens" # Model encoder_type: transformer decoder_type: transformer position_encoding: true enc_layers: 6 dec_layers: 6 heads: 8 #rnn_size: 512 hidden_size: 512 word_vec_size: 512 transformer_ff: 2048 dropout_steps: [0] dropout: [0.1] attention_dropout: [0.1] share_decoder_embeddings: true share_embeddings: false